This approachable introduction to doing data science in R provides
step-by-step advice on using the tools and statistical methods to carry
out data analysis. Introducing the fundamentals of data science and R
before moving into more advanced topics like Multilevel Models and
Probabilistic Modelling with Stan, it builds knowledge and skills
gradually.
This book:
- Focuses on providing practical guidance for all aspects, helping
readers get to grips with the tools, software, and statistical methods
needed to provide the right type and level of analysis their data
requires
- Explores the foundations of data science and breaks down the processes
involved, focusing on the link between data science and practical
social science skills
- Introduces R at the outset and includes extensive worked examples and
R code every step of the way, ensuring students see the value of R and
its connection to methods while providing hands-on practice in the
software
- Provides examples and datasets from different disciplines and
locations demonstrate the widespread relevance, possible applications,
and impact of data science across the social sciences